---
title: "Dashboard"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(p8105.datasets)
library(plotly)
```

```{r data}
data("rest_inspec")

rest_inspec = 
    rest_inspec %>%
    select(boro, cuisine_description, inspection_date, 
           critical_flag, score) %>%
    filter(critical_flag != "NA", boro != "Missing", score != "NA")
```

Column {data-width=650}
-----------------------------------------------------------------------

### Bar Chart of Critical Flags by Cuisine

```{r}
#Bar chart of critical flags by cuisine
rest_inspec %>%
  filter(critical_flag == "Critical") %>%
  count(cuisine_description) %>%
  mutate(critical_flag = fct_reorder(cuisine_description, n)) %>%
  plot_ly(x = ~cuisine_description, y = ~n, type = "bar", color = ~cuisine_description, colors = "viridis")

```

Column {data-width=350}
-----------------------------------------------------------------------

### Scatterplot of Mean Score by Borough Over Time

```{r}
#Scatter plot of mean score by borough over time
rest_inspec %>%
  group_by(boro, inspection_date) %>%
  summarize(mean_score = mean(score)) %>%
  plot_ly(
    x = ~inspection_date, y = ~mean_score, type = "scatter", mode = "markers",
    color = ~boro, alpha = 0.5, colors = "viridis")  
```

### Boxplots of Scores by Criticality

```{r}
#Boxplots of scores by criticality
rest_inspec %>%
  plot_ly(x = ~critical_flag, y = ~score, type = "box", color = ~critical_flag, colors = "viridis")
```